12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Conductance-Based Models 159currenthold<strong>in</strong>g voltage, (mV)250<strong>in</strong>ward outward0-250I (V)I 0 (V)0V-50E K-1000 10time, msa1000500currentslow conductance, g01086I-V relationsI (V)I 0 (V)b{I+I (V)-I 0 (V)}/(V-E K )V-nullcl<strong>in</strong>eE K 0{I-I 0 (V)}/(V-E K )42-100 -80 -60 -40 -20membrane voltage, V (mV)0 20cg-nullcl<strong>in</strong>eFigure 5.22: Voltage-clamp protocol to measure <strong>in</strong>stantaneous (peak) and steadystate current-voltage (I-V) relations. (Shown simulations of the I Na,p +I K -model fromFig. 5.4b.)Let us illustrate the relationship us<strong>in</strong>g the I Na,p +I K -model, which we write <strong>in</strong> theformwhereC ˙V = I − I 0 (V ) − g(V − E K ) , (5.3)ġ = f(V, g) , (5.4)I 0 (V ) = g L (V −E L ) + g Na m ∞ (V )(V − E Na )is the <strong>in</strong>stantaneous (peak) current, and g = g K n is the slow conductance. The functionf(V, g) describes the dynamics of g, and its form is not important here. The methoddescribed below is quite general, and it can be used <strong>in</strong> many circumstances when littleis known about the neuron’s electrophysiology.In Fig. 5.22 we describe a typical voltage-clamp experiment to measure the <strong>in</strong>stantaneous(peak) and the steady-state I-V relations, denoted here as I 0 (V ) and I ∞ (V ),respectively. The hold<strong>in</strong>g voltage (Fig. 5.22a, bottom) is kept at E K and then steppedto various values V . The recorded current (Fig. 5.22a, top) typically consists of a fast(peak) component I 0 (V ) that is due to the <strong>in</strong>stantaneous activation of Na + currents,leak current, and other fast currents, and then it relaxes to the asymptotic steady statevalue I ∞ (V ). Repeat<strong>in</strong>g this experiment for various V , one can measure the I-V functionsI 0 (V ) and I ∞ (V ) depicted <strong>in</strong> Fig. 5.22b. Notice that I 0 (V ) has the N-shape witha large region of negative slope. This region corresponds to the regenerative activation

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